Semiconductor Energy Laboratory Co., Ltd.

Teppei Oguni

Takeshi Osada

Shunpei Yamazaki

Toshihiko Takeuchi

Ryota Tajima

Kazutaka Kuriki

Takuya Miwa

Satoshi Seo

Hiroshi Kadoma

Kai Kimura

Aya Uchida

Junpei Momo

Nobuhiro Inoue

Yumiko Yoneda

Kazuhei Narita

Takuya Hirohashi

Masaki Yamakaji

Kuniharu Nomoto

Hiroatsu Todoriki

Hisao Ikeda

Akiharu Miyanaga

Minoru Takahashi

Takahiro Fukutome

Tatsuji Nishijima

Tamae Moriwaka

Kiyofumi Ogino

Jun Ishikawa

Ai Nakagawa

Ayae Tsuruta

Kengo Akimoto

Shinya Sasagawa

Takahiro Kawakami

Yohei Momma

Junya Goto

Tatsuya Okano

Tetsuya Kakehata

Mayumi Mikami

Tatsuya Ikenuma

Kazuki Tanemura

Rie Yokoi

Shunsuke Adachi

Yusuke Koumura

Rika Yatabe

Hiroyuki Tomisu

A position estimation system with low power consumption is provided. The position estimation system includes a comparison unit, a learning unit, a data acquisition unit, an inference unit, a data conversion unit, and an evaluation unit. The comparison unit has a function of calculating a first parallel movement amount and a first rotation amount on the basis of machine learning data representing geographic information. The learning unit has a function of generating a machine learning model through learning using the machine learning data, the first parallel movement amount, and the first rotation amount. The data acquisition unit has a function of acquiring acquisition data representing environmental information on the vicinity of a position estimation device. The inference unit has a function of inferring a second parallel movement amount and a second rotation amount, with use of the machine learning model, on the basis of the acquisition data and the machine learning data. The data conversion unit has a function of converting the machine learning data to evaluation data on the basis of the second parallel movement amount and the second rotation amount. The evaluation unit has a function of evaluating the degree of correspondence between the acquisition data and the evaluation data.

Position estimation system, position estimation device, and mobile object

To provide a power storage device whose charge and discharge characteristics are unlikely to be degraded by heat treatment. To provide a power storage device that is highly safe against heat treatment. The power storage device includes a positive electrode, a negative electrode, a separator, an electrolytic solution, and an exterior body. The separator is located between the positive electrode and the negative electrode. The separator contains polyphenylene sulfide or solvent-spun regenerated cellulosic fiber. The electrolytic solution contains a solute and two or more kinds of solvents. The solute contains LiBETA. One of the solvents is propylene carbonate.

Power storage device, method for manufacturing power storage device, and electronic device

To provide a storage battery including a carbon-based material. To provide a graphene compound film having desired ion conductivity and mechanical strength while preventing direct contact between electrodes in a storage battery. To achieve long-term reliability. A lithium-ion storage battery includes a positive electrode, a negative electrode, an exterior body, and a separator between the positive electrode and the negative electrode. In the lithium-ion storage battery, one of the positive electrode and the negative electrode is wrapped in a first film, and the positive electrode, the negative electrode, and the separator are stored in the exterior body. The first film may include a first region in which the first film includes a first functional group. The first film may further include a second region in which the first film includes a second functional group different from the first functional group. The first film may be a graphene compound film.

Lithium-ion storage battery and electronic device

To form graphene to a practically even thickness on an object having an uneven surface or a complex surface, in particular, an object having a surface with a three-dimensional structure due to complex unevenness, or an object having a curved surface. The object and an electrode are immersed in a graphene oxide solution, and voltage is applied between the object and the electrode. At this time, the object serves as an anode. Graphene oxide is attracted to the anode because of being negatively charged, and deposited on the surface of the object to have a practically even thickness. A portion where graphene oxide is deposited is unlikely coated with another graphene oxide. Thus, deposited graphene oxide is reduced to graphene, whereby graphene can be formed to have a practically even thickness on an object having surface with complex unevenness.

Method for manufacturing graphene-coated object, negative electrode of secondary battery including graphene-coated object, and secondary battery including the negative electrode

An information processing system is provided. The information processing system includes first and second information processors. The first information processor obtains a first moving image including a face and detecting an eye from two or more first images among the first moving image. The first information processor detects a pupil from the eye detected from the first image, calculating its size, and performing learning using a change over time in the size of the pupil. The second information processor obtains a second moving image including a face and detecting an eye from two or more second images among the second moving image. The second information processor detects a pupil from the eye detected from the second image, calculating its size, and performing inference on the change over time in the size of the pupil on the basis of the result of the learning performed by the first information processor.

Information processor performing arithmetic operation using machine learning

A novel electrode, a novel power storage device, an electrode with less deterioration, an electrode with a high capacity, a long-life power storage device, a power storage device with less deterioration, a power storage device with high energy density, or a highly reliable power storage device is provided. The electrode includes a graphene compound including a graphene layer and a substituted or unsubstituted chain group, and an active material. The graphene layer is bonded to the chain group through a substituent containing silicon. The graphene compound includes a region in contact with the active material in particle form. The active material includes an element A, which is one or more elements selected from elements belonging to Group 1 and elements belonging to Group 2, and an element M, which is one or more elements selected from manganese and nickel. The chain group includes one or more groups selected from a carbonyl group, an ester group, a carboxyl group, an ether group, and an epoxy group.

Electrode and power storage device comprising graphene compound

Graphene is formed with a practically uniform thickness on an uneven object. The object is immersed in a graphene oxide solution, and then taken out of the solution and dried; alternatively, the object and an electrode are immersed therein and voltage is applied between the electrode and the object used as an anode. Graphene oxide is negatively charged, and thus is drawn to and deposited on a surface of the object, with a practically uniform thickness. After that, the object is heated in vacuum or a reducing atmosphere, so that the graphene oxide is reduced to be graphene. In this manner, a graphene layer with a practically uniform thickness can be formed even on a surface of the uneven object.

Single-layer and multilayer graphene, method of manufacturing the same, object including the same, and electric device including the same

A parameter candidate for a semiconductor element is provided. A data set of measurement data is provided to a parameter extraction portion, and a model parameter is extracted. A first netlist is provided to a circuit simulator, simulation is performed using the first netlist and the model parameter, and a first output result is output. A classification model learns the model parameter and the first output result and classifies the model parameter. A second netlist and a model parameter are provided to the circuit simulator. A variable to be adjusted is supplied to a neural network, an action value function is output, and the variable is updated. The circuit simulator performs simulation using the second netlist and the model parameter. When a second output result to be output does not satisfy conditions, a weight coefficient of the neural network is updated. When the second output result satisfies the conditions, the variable is judged to be the best candidate.

Parameter search method

A material that can be used in a wide temperature range is provided. A graphene compound includes graphene or graphene oxide and a substituted or unsubstituted chain group, the chain group includes two or more ether bonds, and the chain group is bonded to the above graphene or graphene oxide through a Si atom. Alternatively, a method for forming a graphene compound includes a first step and a second step after the first step. In the first step, graphene oxide and a base are stirred under a nitrogen stream. In the second step, the mixture is cooled to room temperature, a silylating agent that has a group having two or more ether bonds is introduced into the mixture, and the obtained mixture is stirred. The base is butylamine, pentylamine, hexylamine, diethylamine, dipropylamine, dibutylamine, triethylamine, tripropylamine, or pyridine.

Graphene compound, method for forming graphene compound, and lithium-ion storage battery

A data processing system that can sense fatigue or the like using a neural network is provided. First, a reference image is obtained on the basis of first to n-th images (n is an integer greater than or equal to 2). Next, the first to n-th images and the reference image are input to an input layer of a neural network, first to n-th estimated ages and a reference estimated age are output from an output layer, and first to n-th data and reference data are output from an intermediate layer. After that, first to n-th coordinates are obtained in each of which an x-coordinate is a value corresponding to a difference between the reference estimated age and the first to n-th estimated ages and a y-coordinate is a value corresponding to the degree of similarity between the reference data and the first to n-th data. Next, a query image is input to the input layer, a query estimated age is output from the output layer, query data is output from the intermediate layer, and query coordinates are obtained using the output results. Whether a person of a face included in the query image feels fatigue or the like is determined on the basis of the first to n-th coordinates and the query coordinates.

Data processing system and data processing method

A lithium-ion secondary battery including a lithium-containing complex phosphate as a positive electrode active material is provided. Furthermore, a positive electrode active material with high diffusion rate of lithium ions is provided to provide a lithium-ion secondary battery with high output. A positive electrode active material of a lithium-ion secondary battery includes a first plate-like component and a second plate-like component, a third prismatic component between the first component and the second component, and a space between the first component and the second component.

Positive electrode active material for secondary battery, secondary battery, battery management unit, and electronic device

Person's conditions are classified according to his/her eye data. Person's conditions are classified according to his/her eye data using an imaging device, a feature extraction unit, and a classifier. The imaging device has a function of generating a group of images by continuous image capturing, and the group of images preferably includes an image of an eye area. The eye includes a black area and a white area. The method includes the steps in which the feature extraction unit extracts the eye area from the group of images, extracts a blinking amplitude, detects an image for determining start of eye blinking, stores an image for determining end of eye blinking as first data, and stores an image after a predetermined time elapsed from the first data as second data. The step in which the feature extraction unit extracts the white area from the first data and the second data is included. The classifier can use the white area as learning data.

Classification method

A composite oxide with high diffusion rate of lithium is provided. Alternatively, a lithium-containing complex phosphate with high diffusion rate of lithium is provided. Alternatively, a positive electrode active material with high diffusion rate of lithium is provided. Alternatively, a lithium ion battery with high output is provided. Alternatively, a lithium ion battery that can be manufactured at low cost is provided. A positive electrode active material is formed through a first step of mixing a lithium compound, a phosphorus compound, and water, a second step of adjusting pH by adding a first aqueous solution to a first mixed solution formed in the first step, a third step of mixing an iron compound with a second mixed solution formed in the second step, a fourth step of performing heat treatment under a pressure more than or equal to 0.1 MPa and less than or equal to 2 MPa at a highest temperature more than 100° C. and less than or equal to 119° C. on a third mixed solution formed in the third step with a pH of more than or equal to 3.5 and less than or equal to 5.0.

Method for manufacturing positive electrode active material, and lithium ion battery

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Kanagawa, Japan

Teppei Oguni